MRI Infusion Pump Algorithm Selection via Patient Data Comparison
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Solution Overview
Problem
Current MRI infusion pumps face challenges in accurate control during MRI procedures due to the lack of comparative data availability for healthcare professionals, leading to potential errors.
Innovation Solution
Implementing a system where an MRI infusion pump/patient monitor connects to the cloud/Internet to transfer patient data to a patient network for comparison with a historical database, allowing selection of a pump algorithm based on patient vitals and electronic medical records to control the infusion pump.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If an MRI infusion pump is controlled by a healthcare professional in a separate room, then the pump can be operated remotely, but control errors may occur due to lack of comparative data
Solution Approach 1:
The system continuously monitors patient vital signs during the MRI procedure and compares real-time data against historical databases and algorithm predictions. This closed-loop feedback mechanism automatically adjusts infusion pump parameters based on actual patient response, eliminating the need for remote human control while maintaining or improving reliability through data-driven decision making
Solution Approach 2:
The infusion pump system performs self-adjustment by automatically selecting and applying the most appropriate pump algorithm based on real-time patient data comparison with historical records. The system serves itself by making control decisions without requiring external healthcare professional intervention, thereby eliminating human error while maintaining operational capability
2Reliability
If real-time data monitoring and historical database comparison are implemented, then control accuracy is improved, but system complexity increases
Solution Approach 1:
The patient monitor serves multiple functions: it acts as both the data collection device during MRI procedures and the processing unit that compares real-time vital signs against historical databases. The system also functions as the algorithm selector and pump controller. By consolidating these functions into a single multi-functional platform, the patent reduces overall system complexity while maintaining high control accuracy through integrated data processing
Data Source
AI summary
The present disclosure generally relates to systems and methods for providing intelligent control to imaging systems, associated patient machines, or both. In one embodiment, the systems and methods provide automated magnetic resonance imaging (MRI) control. An MRI infusion pump/patient monitor may have a cloud/Internet connection and may transfer a patient's data to a patient network while an MRI with the patient is in progress. The data maybe compared to a historical patient database in the patient network. A pump algorithm may be selected based on multiple factors. Such factors may include patient vitals and electronic medical records. The selected pump algorithm may be used to control the MRI infusion pump.